Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images-Reference-Cited by-同舟云学术

Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images

Published:2023-12 Issue: Volume:90 Page:102930
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Tian Yu^ORCID,Liu Fengbei^ORCID,Pang Guansong^ORCID,Chen Yuanhong^ORCID,Liu Yuyuan,Verjans Johan W.^ORCID,Singh Rajvinder^ORCID,Carneiro Gustavo^ORCID

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference67 articles.

1. Ganomaly: Semi-supervised anomaly detection via adversarial training;Akcay,2018

2. Scale-space autoencoders for unsupervised anomaly segmentation in brain mri;Baur,2020

3. Classification-based anomaly detection for general data;Bergman,2020

4. Bergmann, P., Fauser, M., Sattlegger, D., Steger, C., 2020. Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4183–4192.

5. Understanding and improving interpolation in autoencoders via an adversarial regularizer;Berthelot,2018

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